Course

CS-523: Advanced topics on privacy enhancing technologies

Lectures in this course (52)

Explores censorship resistance in privacy technologies, techniques to avoid Internet censorship, preventing communication, and censorship resistance systems like Tor.

Censorship Resistance: Tor Bridges & ScrambleSuit

Explores Tor bridges enumeration, ScrambleSuit for censorship resistance, and mimicking whitelisted applications like Skype.

Censorship Resistance

Explores techniques for censorship resistance in the Internet and discusses solutions like CloudTransport and CovertCast.

Online Tracking: Stateful vs Stateless

Explores online tracking, cookies, cookie syncing, and the transition to a cookieless world.

Online tracking: FLOC and Privacy Concerns

Explores FLOC for online tracking and privacy concerns, including browser fingerprinting and countermeasures against tracking.

Machine Learning and Privacy

Delves into machine learning's impact on privacy, discussing attacks, vulnerabilities, and ethical considerations in data usage.

Machine Learning and Privacy

Explores Federated Machine Learning and Differential Privacy in Machine Learning, discussing attacks, defenses, and challenges.

Machine Learning and Privacy

Delves into Differential Privacy trade-offs, disparate impact, and machine learning-based privacy attacks.

Privacy Engineering: Design Principles and SwissCovid Case Study

Explores Privacy by Design principles, data minimization, trust minimization, and the SwissCovid app case study.

Legal Aspects: Data Protection Law

Explores the legal aspects of data protection law, covering history, international instruments, GDPR, enforcement, and key definitions.

Legal Aspects: Personal Data Processing and GDPR Compliance

Explores legal aspects of personal data processing, GDPR compliance, web tracking history, app privacy challenges, and online advertising practices.

Real-Time Bidding: Legal Aspects

Explores the legal implications of real-time bidding in online advertising, focusing on data protection and privacy concerns.